IQ-TREE MPI multicore version 2.0.6 for Linux 64-bit built Aug  3 2020
Developed by Bui Quang Minh, Nguyen Lam Tung, Olga Chernomor,
Heiko Schmidt, Dominik Schrempf, Michael Woodhams.

Host:    holy7c18502.rc.fas.harvard.edu (AVX512, FMA3, 188 GB RAM)
Command: /n/helmod/apps/centos7/MPI/gcc/9.3.0-fasrc01/openmpi/4.0.2-fasrc01/iqtree/2.0.6-fasrc02/bin/iqtree2-mpi -nt 32 -st AA -ninit 10 -bb 1500 -pre 22taxa -msub nuclear -s ../../matrices/Concatenated_22taxa/22taxa_concatenated.nex -m MFP+MERGE -rcluster 10 -madd LG4M,LG4X,LG+C10,LG+C20,LG+C30,LG+C40,LG+C50,LG+C60 -mrate G,R,E
Seed:    726376 (Using SPRNG - Scalable Parallel Random Number Generator)
Time:    Fri Mar 12 02:36:32 2021
Kernel:  AVX+FMA - 32 threads (32 CPU cores detected)
MPI:     1 processes

Reading alignment file ../../matrices/Concatenated_22taxa/22taxa_concatenated.nex ... Nexus format detected
Alignment has 31 sequences with 170520 columns, 111059 distinct patterns
62349 parsimony-informative, 29612 singleton sites, 78559 constant sites
                                        Gap/Ambiguity  Composition  p-value
   1  Scolopocryptops_sexspinosus              31.35%    passed     22.36%
   2  Notiphilides_grandis                     25.97%    passed      9.69%
   3  Strigamia_maritima_1                     21.54%    passed     15.44%
   4  Eupolybothrus_fasciatus_SRR3485981       33.21%    failed      0.00%
   5  Alipes_grandidieri                       19.26%    failed      0.00%
   6  Theatops_spinicaudus                     30.72%    passed     41.20%
   7  Hydroschendyla_submarina                 33.32%    passed     64.31%
   8  Scolopendropsis_bahiensis                19.94%    failed      0.00%
   9  Lithobius_atkinsoni                      51.62%    failed      0.03%
  10  Cryptops_hortensis                       15.95%    passed     62.25%
  11  Pauropus_huxleyi                         36.32%    failed      0.00%
  12  Glomeris_marginata                       39.31%    failed      0.00%
  13  Henia_brevis                             25.04%    passed     13.05%
  14  Scolopendra_cingulata_SRR1653235         12.83%    failed      0.00%
  15  Anopsobius_giribeti                      24.08%    failed      0.06%
  16  Scutigerina_weberi                       28.16%    passed     94.51%
  17  Newportia_adisi                          25.04%    passed     14.48%
  18  Sphendononema_guildingii                 39.18%    failed      0.00%
  19  Scolopocryptops_rubiginosus_SRR1653236   11.15%    passed     89.52%
  20  Scutigera_coleoptrata                    36.74%    failed      0.09%
  21  Mecistocephalus_guildingii               23.36%    passed     85.09%
  22  Scolopendra_subspinipes_SRR6377863       11.98%    failed      0.00%
  23  Scutigerella                             65.51%    failed      0.00%
  24  Craterostigmus_tasmanianus               34.10%    failed      0.00%
  25  Mimops_sp1                               53.24%    failed      0.00%
  26  Mimops_sp2                               80.97%    failed      0.00%
  27  Rhysida_longipes                         31.91%    failed      0.01%
  28  Himantarium_gabrielis                    38.07%    failed      0.02%
  29  Stenotaenia_linearis                     26.40%    passed     57.51%
  30  Paralamyctes_validus                     32.58%    failed      0.10%
  31  Akymnopellis_chilensis                   47.45%    failed      0.02%
WARNING: 4 sequences contain more than 50% gaps/ambiguity
****  TOTAL                                    32.46%  19 sequences failed composition chi2 test (p-value<5%; df=19)
NOTE: minimal branch length is reduced to 0.000000586441 for long alignment


Create initial parsimony tree by phylogenetic likelihood library (PLL)... 0.941 seconds
Perform fast likelihood tree search using LG+I+G model...
Estimate model parameters (epsilon = 5.000)
Perform nearest neighbor interchange...
Estimate model parameters (epsilon = 1.000)
1. Initial log-likelihood: -2505170.911
2. Current log-likelihood: -2505167.403
3. Current log-likelihood: -2505165.271
4. Current log-likelihood: -2505163.695
5. Current log-likelihood: -2505162.508
Optimal log-likelihood: -2505161.443
Proportion of invariable sites: 0.266
Gamma shape alpha: 0.661
Parameters optimization took 5 rounds (10.459 sec)
Time for fast ML tree search: 39.814 seconds

NOTE: ModelFinder requires 5955 MB RAM!
ModelFinder will test up to 206 protein models (sample size: 170520) ...
 No. Model         -LnL         df  AIC          AICc         BIC
  1  LG+G4         2508806.504  60  5017733.008  5017733.051  5018335.805
  2  LG+R2         2527535.785  61  5055193.570  5055193.614  5055806.413
  3  LG+R3         2505237.019  63  5010600.038  5010600.085  5011232.974
  4  LG+R4         2502034.279  65  5004198.558  5004198.608  5004851.587
  5  LG+R5         2501557.486  67  5003248.972  5003249.025  5003922.094
  6  LG+R6         2501494.399  69  5003126.798  5003126.854  5003820.013
  7  LG+R7         2501488.952  71  5003119.905  5003119.965  5003833.214
 11  LG            2724288.042  59  5448694.084  5448694.125  5449286.834
 12  LG+F+G4       2507894.167  79  5015946.334  5015946.408  5016740.016
 13  LG+F+R2       2526482.828  80  5053125.656  5053125.732  5053929.384
 14  LG+F+R3       2504300.689  82  5008765.379  5008765.459  5009589.201
 15  LG+F+R4       2501106.829  84  5002381.658  5002381.742  5003225.573
 16  LG+F+R5       2500628.578  86  5001429.156  5001429.244  5002293.165
 17  LG+F+R6       2500565.156  88  5001306.313  5001306.405  5002190.414
 18  LG+F+R7       2500562.034  90  5001304.068  5001304.164  5002208.262
 22  LG+F          2723002.694  78  5446161.389  5446161.461  5446945.024
 23  WAG+G4        2519739.923  60  5039599.846  5039599.889  5040202.642
 24  WAG+R2        2535538.802  61  5071199.603  5071199.648  5071812.446
 25  WAG+R3        2516386.455  63  5032898.910  5032898.957  5033531.846
 26  WAG+R4        2513766.570  65  5027663.140  5027663.191  5028316.170
 27  WAG+R5        2513435.399  67  5027004.798  5027004.851  5027677.921
 28  WAG+R6        2513393.510  69  5026925.021  5026925.078  5027618.237
WARNING: Log-likelihood -2.51341e+06 of WAG+R7 worse than WAG+R6 -2.51339e+06
 29  WAG+R7        2513411.967  71  5026965.933  5026965.993  5027679.243
 33  WAG           2721887.396  59  5443892.793  5443892.834  5444485.543
 34  WAG+F+G4      2519622.415  79  5039402.829  5039402.903  5040196.511
 35  WAG+F+R2      2535726.713  80  5071613.426  5071613.502  5072417.154
 36  WAG+F+R3      2516238.665  82  5032641.331  5032641.411  5033465.153
 37  WAG+F+R4      2513569.250  84  5027306.499  5027306.583  5028150.414
 38  WAG+F+R5      2513226.378  86  5026624.757  5026624.845  5027488.765
 39  WAG+F+R6      2513182.575  88  5026541.150  5026541.242  5027425.251
WARNING: Log-likelihood -2.5132e+06 of WAG+F+R7 worse than WAG+F+R6 -2.51318e+06
 40  WAG+F+R7      2513195.343  90  5026570.685  5026570.781  5027474.880
 44  WAG+F         2723469.233  78  5447094.465  5447094.537  5447878.101
 45  JTT+G4        2516737.311  60  5033594.622  5033594.665  5034197.418
 46  JTT+R2        2534329.527  61  5068781.053  5068781.098  5069393.896
 47  JTT+R3        2513085.379  63  5026296.758  5026296.806  5026929.695
 48  JTT+R4        2510189.420  65  5020508.841  5020508.891  5021161.870
 49  JTT+R5        2509783.005  67  5019700.011  5019700.064  5020373.133
 50  JTT+R6        2509746.264  69  5019630.527  5019630.584  5020323.743
WARNING: Log-likelihood -2.50977e+06 of JTT+R7 worse than JTT+R6 -2.50975e+06
 51  JTT+R7        2509765.606  71  5019673.212  5019673.272  5020386.521
 55  JTT           2728075.355  59  5456268.710  5456268.752  5456861.460
 56  JTT+F+G4      2514670.513  79  5029499.025  5029499.099  5030292.707
 57  JTT+F+R2      2532378.542  80  5064917.084  5064917.160  5065720.812
 58  JTT+F+R3      2511021.454  82  5022206.909  5022206.988  5023030.730
 59  JTT+F+R4      2508122.083  84  5016412.166  5016412.250  5017256.081
 60  JTT+F+R5      2507711.606  86  5015595.213  5015595.300  5016459.221
 61  JTT+F+R6      2507675.206  88  5015526.413  5015526.505  5016410.514
WARNING: Log-likelihood -2.50769e+06 of JTT+F+R7 worse than JTT+F+R6 -2.50768e+06
 62  JTT+F+R7      2507692.696  90  5015565.392  5015565.488  5016469.587
 66  JTT+F         2726880.253  78  5453916.505  5453916.578  5454700.141
 67  JTTDCMut+G4   2516551.710  60  5033223.419  5033223.462  5033826.216
 68  JTTDCMut+R2   2534136.213  61  5068394.425  5068394.470  5069007.268
 69  JTTDCMut+R3   2512894.402  63  5025914.804  5025914.851  5026547.740
 70  JTTDCMut+R4   2509995.144  65  5020120.287  5020120.337  5020773.317
 71  JTTDCMut+R5   2509590.876  67  5019315.751  5019315.805  5019988.874
 72  JTTDCMut+R6   2509553.748  69  5019245.497  5019245.553  5019938.712
WARNING: Log-likelihood -2.50957e+06 of JTTDCMut+R7 worse than JTTDCMut+R6 -2.50955e+06
 73  JTTDCMut+R7   2509573.744  71  5019289.488  5019289.548  5020002.797
 77  JTTDCMut      2727543.916  59  5455205.833  5455205.874  5455798.582
 78  JTTDCMut+F+G4 2514457.485  79  5029072.969  5029073.043  5029866.651
 79  JTTDCMut+F+R2 2532188.377  80  5064536.755  5064536.831  5065340.483
 80  JTTDCMut+F+R3 2510804.218  82  5021772.437  5021772.516  5022596.258
 81  JTTDCMut+F+R4 2507892.456  84  5015952.911  5015952.995  5016796.826
 82  JTTDCMut+F+R5 2507481.018  86  5015134.036  5015134.124  5015998.044
 83  JTTDCMut+F+R6 2507444.170  88  5015064.341  5015064.432  5015948.442
WARNING: Log-likelihood -2.50746e+06 of JTTDCMut+F+R7 worse than JTTDCMut+F+R6 -2.50744e+06
 84  JTTDCMut+F+R7 2507462.294  90  5015104.588  5015104.684  5016008.783
 88  JTTDCMut+F    2726450.666  78  5453057.333  5453057.405  5453840.968
 89  DCMut+G4      2534500.637  60  5069121.274  5069121.317  5069724.071
 90  DCMut+R2      2553858.169  61  5107838.337  5107838.382  5108451.180
 91  DCMut+R3      2531144.117  63  5062414.234  5062414.281  5063047.170
 92  DCMut+R4      2527599.364  65  5055328.728  5055328.778  5055981.757
 93  DCMut+R5      2526958.223  67  5054050.446  5054050.500  5054723.569
 94  DCMut+R6      2526870.463  69  5053878.926  5053878.983  5054572.142
 95  DCMut+R7      2526865.205  71  5053872.409  5053872.469  5054585.718
 99  DCMut         2748698.147  59  5497514.295  5497514.336  5498107.044
100  DCMut+F+G4    2526557.296  79  5053272.593  5053272.667  5054066.275
101  DCMut+F+R2    2546237.119  80  5092634.237  5092634.313  5093437.966
102  DCMut+F+R3    2523168.278  82  5046500.555  5046500.635  5047324.377
103  DCMut+F+R4    2519613.405  84  5039394.810  5039394.894  5040238.725
104  DCMut+F+R5    2518966.079  86  5038104.157  5038104.245  5038968.166
105  DCMut+F+R6    2518881.229  88  5037938.458  5037938.549  5038822.559
106  DCMut+F+R7    2518875.112  90  5037930.224  5037930.320  5038834.419
110  DCMut+F       2742805.963  78  5485767.927  5485767.999  5486551.562
111  VT+G4         2525651.766  60  5051423.533  5051423.576  5052026.329
112  VT+R2         2540117.944  61  5080357.889  5080357.933  5080970.732
113  VT+R3         2522455.690  63  5045037.381  5045037.428  5045670.317
114  VT+R4         2520324.707  65  5040779.414  5040779.464  5041432.443
115  VT+R5         2520096.320  67  5040326.639  5040326.693  5040999.762
116  VT+R6         2520074.991  69  5040287.983  5040288.039  5040981.199
WARNING: Log-likelihood -2.5201e+06 of VT+R7 worse than VT+R6 -2.52007e+06
117  VT+R7         2520098.424  71  5040338.849  5040338.909  5041052.158
121  VT            2723632.925  59  5447383.849  5447383.891  5447976.599
122  VT+F+G4       2526210.275  79  5052578.550  5052578.624  5053372.232
123  VT+F+R2       2540632.431  80  5081424.862  5081424.938  5082228.591
124  VT+F+R3       2523029.807  82  5046223.614  5046223.694  5047047.436
125  VT+F+R4       2520923.038  84  5042014.077  5042014.161  5042857.992
126  VT+F+R5       2520693.967  86  5041559.935  5041560.022  5042423.943
127  VT+F+R6       2520672.834  88  5041521.668  5041521.760  5042405.769
WARNING: Log-likelihood -2.5207e+06 of VT+F+R7 worse than VT+F+R6 -2.52067e+06
128  VT+F+R7       2520696.474  90  5041572.948  5041573.044  5042477.143
132  VT+F          2724332.629  78  5448821.259  5448821.331  5449604.894
133  PMB+G4        2548664.301  60  5097448.602  5097448.645  5098051.399
134  PMB+R2        2563005.729  61  5126133.458  5126133.503  5126746.301
135  PMB+R3        2545580.302  63  5091286.604  5091286.652  5091919.541
136  PMB+R4        2543638.804  65  5087407.609  5087407.659  5088060.638
137  PMB+R5        2543440.038  67  5087014.076  5087014.130  5087687.199
138  PMB+R6        2543419.111  69  5086976.223  5086976.279  5087669.439
WARNING: Log-likelihood -2.54344e+06 of PMB+R7 worse than PMB+R6 -2.54342e+06
139  PMB+R7        2543442.758  71  5087027.515  5087027.575  5087740.825
143  PMB           2745953.493  59  5492024.987  5492025.028  5492617.736
144  PMB+F+G4      2546715.982  79  5093589.965  5093590.039  5094383.647
145  PMB+F+R2      2561137.176  80  5122434.352  5122434.428  5123238.080
146  PMB+F+R3      2543531.084  82  5087226.168  5087226.248  5088049.990
147  PMB+F+R4      2541508.830  84  5083185.659  5083185.743  5084029.574
148  PMB+F+R5      2541292.048  86  5082756.096  5082756.184  5083620.104
149  PMB+F+R6      2541267.663  88  5082711.327  5082711.419  5083595.428
WARNING: Log-likelihood -2.54129e+06 of PMB+F+R7 worse than PMB+F+R6 -2.54127e+06
150  PMB+F+R7      2541289.049  90  5082758.099  5082758.195  5083662.294
154  PMB+F         2744739.523  78  5489635.045  5489635.117  5490418.681
155  Blosum62+G4   2547636.769  60  5095393.539  5095393.582  5095996.335
156  Blosum62+R2   2562367.544  61  5124857.089  5124857.133  5125469.932
157  Blosum62+R3   2544528.509  63  5089183.017  5089183.065  5089815.954
158  Blosum62+R4   2542431.271  65  5084992.541  5084992.592  5085645.571
159  Blosum62+R5   2542208.707  67  5084551.415  5084551.468  5085224.537
160  Blosum62+R6   2542180.089  69  5084498.179  5084498.236  5085191.395
WARNING: Log-likelihood -2.5422e+06 of Blosum62+R7 worse than Blosum62+R6 -2.54218e+06
161  Blosum62+R7   2542198.965  71  5084539.929  5084539.989  5085253.238
165  Blosum62      2745541.348  59  5491200.696  5491200.737  5491793.446
166  Blosum62+F+G4 2547510.165  79  5095178.331  5095178.405  5095972.013
167  Blosum62+F+R2 2562220.321  80  5124600.643  5124600.719  5125404.372
168  Blosum62+F+R3 2544316.026  82  5088796.052  5088796.132  5089619.874
169  Blosum62+F+R4 2542141.117  84  5084450.233  5084450.317  5085294.148
170  Blosum62+F+R5 2541904.998  86  5083981.996  5083982.083  5084846.004
171  Blosum62+F+R6 2541874.430  88  5083924.860  5083924.952  5084808.961
WARNING: Log-likelihood -2.54189e+06 of Blosum62+F+R7 worse than Blosum62+F+R6 -2.54187e+06
172  Blosum62+F+R7 2541892.787  90  5083965.574  5083965.670  5084869.769
176  Blosum62+F    2745841.580  78  5491839.160  5491839.233  5492622.796
177  Dayhoff+G4    2534288.676  60  5068697.352  5068697.395  5069300.149
178  Dayhoff+R2    2553706.923  61  5107535.846  5107535.890  5108148.689
179  Dayhoff+R3    2530923.309  63  5061972.618  5061972.666  5062605.555
180  Dayhoff+R4    2527365.938  65  5054861.875  5054861.926  5055514.905
181  Dayhoff+R5    2526721.673  67  5053577.346  5053577.399  5054250.468
182  Dayhoff+R6    2526633.616  69  5053405.232  5053405.289  5054098.448
183  Dayhoff+R7    2526628.199  71  5053398.397  5053398.457  5054111.707
187  Dayhoff       2748781.627  59  5497681.254  5497681.295  5498274.004
188  Dayhoff+F+G4  2526385.328  79  5052928.655  5052928.729  5053722.337
189  Dayhoff+F+R2  2546127.758  80  5092415.515  5092415.591  5093219.244
190  Dayhoff+F+R3  2522987.684  82  5046139.368  5046139.448  5046963.190
191  Dayhoff+F+R4  2519420.763  84  5039009.526  5039009.610  5039853.442
192  Dayhoff+F+R5  2518770.580  86  5037713.160  5037713.248  5038577.169
193  Dayhoff+F+R6  2518685.205  88  5037546.410  5037546.502  5038430.512
194  Dayhoff+F+R7  2518679.010  90  5037538.020  5037538.116  5038442.215
198  Dayhoff+F     2742948.825  78  5486053.650  5486053.722  5486837.286
Model LG4M is alias for MIX{LG4M1,LG4M2,LG4M3,LG4M4}*G4
199  LG4M          2518574.310  60  5037268.621  5037268.664  5037871.417
Model LG4X is alias for MIX{LG4X1,LG4X2,LG4X3,LG4X4}*R4
200  LG4X          2506905.368  65  5013940.735  5013940.786  5014593.765
Model LG+C10 is alias for LG+POISSON+G+FMIX{C10pi1:1:0.1191344178,C10pi2:1:0.0874372456,C10pi3:1:0.1037105070,C10pi4:1:0.0922584809,C10pi5:1:0.1070492801,C10pi6:1:0.1329945166,C10pi7:1:0.0538028458,C10pi8:1:0.0691986212,C10pi9:1:0.1319937434,C10pi10:1:0.1024203429}
201  LG+C10        2507222.969  60  5014565.937  5014565.980  5015168.734
Model LG+C20 is alias for LG+POISSON+G+FMIX{C20pi1:1:0.0559910600,C20pi2:1:0.0514824870,C20pi3:1:0.0812922124,C20pi4:1:0.0721976867,C20pi5:1:0.0556718858,C20pi6:1:0.0331003080,C20pi7:1:0.0589501763,C20pi8:1:0.0263756889,C20pi9:1:0.0307584220,C20pi10:1:0.0376701125,C20pi11:1:0.0303058290,C20pi12:1:0.0808775576,C20pi13:1:0.0263349134,C20pi14:1:0.0579101455,C20pi15:1:0.0371248064,C20pi16:1:0.0586867766,C20pi17:1:0.0561479138,C20pi18:1:0.0349810886,C20pi19:1:0.0544937394,C20pi20:1:0.0596471901}
202  LG+C20        2494380.560  60  4988881.120  4988881.163  4989483.917
Model LG+C30 is alias for LG+POISSON+G+FMIX{C30pi1:1:0.0095783264,C30pi2:1:0.0248476365,C30pi3:1:0.0636309366,C30pi4:1:0.0537939225,C30pi5:1:0.0295885587,C30pi6:1:0.0117587936,C30pi7:1:0.0132013428,C30pi8:1:0.0236868805,C30pi9:1:0.0261687659,C30pi10:1:0.0239821974,C30pi11:1:0.0257100906,C30pi12:1:0.0465072425,C30pi13:1:0.0546794546,C30pi14:1:0.0536085131,C30pi15:1:0.0270622670,C30pi16:1:0.0403913593,C30pi17:1:0.0474212700,C30pi18:1:0.0458816478,C30pi19:1:0.0214036510,C30pi20:1:0.0290385981,C30pi21:1:0.0123391793,C30pi22:1:0.0569350229,C30pi23:1:0.0419687568,C30pi24:1:0.0339027062,C30pi25:1:0.0388777376,C30pi26:1:0.0196343766,C30pi27:1:0.0233086174,C30pi28:1:0.0622722654,C30pi29:1:0.0184803385,C30pi30:1:0.0203395454}
203  LG+C30        2492816.011  60  4985752.022  4985752.065  4986354.818
Model LG+C40 is alias for LG+POISSON+G+FMIX{C40pi1:1:0.0223853788,C40pi2:1:0.0338891820,C40pi3:1:0.0577169375,C40pi4:1:0.0252416233,C40pi5:1:0.0108607921,C40pi6:1:0.0462373793,C40pi7:1:0.0102293175,C40pi8:1:0.0147523625,C40pi9:1:0.0143161352,C40pi10:1:0.0182302541,C40pi11:1:0.0204025079,C40pi12:1:0.0425505156,C40pi13:1:0.0248627269,C40pi14:1:0.0105892988,C40pi15:1:0.0188238725,C40pi16:1:0.0086663445,C40pi17:1:0.0148496147,C40pi18:1:0.0343037402,C40pi19:1:0.0225335203,C40pi20:1:0.0174068578,C40pi21:1:0.0112207827,C40pi22:1:0.0443532245,C40pi23:1:0.0392573370,C40pi24:1:0.0196756555,C40pi25:1:0.0287690328,C40pi26:1:0.0114441177,C40pi27:1:0.0112338740,C40pi28:1:0.0582694099,C40pi29:1:0.0444272279,C40pi30:1:0.0112010942,C40pi31:1:0.0145176111,C40pi32:1:0.0114629026,C40pi33:1:0.0239628061,C40pi34:1:0.0266266492,C40pi35:1:0.0481201159,C40pi36:1:0.0371147423,C40pi37:1:0.0160476688,C40pi38:1:0.0237249267,C40pi39:1:0.0235226203,C40pi40:1:0.0261998398}
204  LG+C40        2491066.521  60  4982253.042  4982253.085  4982855.839
Model LG+C50 is alias for LG+POISSON+G+FMIX{C50pi1:1:0.0164297003,C50pi2:1:0.0273175755,C50pi3:1:0.0460247610,C50pi4:1:0.0084864734,C50pi5:1:0.0125389252,C50pi6:1:0.0343549036,C50pi7:1:0.0130241102,C50pi8:1:0.0094755681,C50pi9:1:0.0190040551,C50pi10:1:0.0151902354,C50pi11:1:0.0320534760,C50pi12:1:0.0210059850,C50pi13:1:0.0237408547,C50pi14:1:0.0239841203,C50pi15:1:0.0213748021,C50pi16:1:0.0210717705,C50pi17:1:0.0050241805,C50pi18:1:0.0166262276,C50pi19:1:0.0143945956,C50pi20:1:0.0104391130,C50pi21:1:0.0107628277,C50pi22:1:0.0148818171,C50pi23:1:0.0321480239,C50pi24:1:0.0145477978,C50pi25:1:0.0332355807,C50pi26:1:0.0143190281,C50pi27:1:0.0234478734,C50pi28:1:0.0183044983,C50pi29:1:0.0403269452,C50pi30:1:0.0135629530,C50pi31:1:0.0091880799,C50pi32:1:0.0158270022,C50pi33:1:0.0121019379,C50pi34:1:0.0353560982,C50pi35:1:0.0404495617,C50pi36:1:0.0104569232,C50pi37:1:0.0146187792,C50pi38:1:0.0093984095,C50pi39:1:0.0146773809,C50pi40:1:0.0201635562,C50pi41:1:0.0255640273,C50pi42:1:0.0039486842,C50pi43:1:0.0393652608,C50pi44:1:0.0056415419,C50pi45:1:0.0382833580,C50pi46:1:0.0039735086,C50pi47:1:0.0140269355,C50pi48:1:0.0476703673,C50pi49:1:0.0204062788,C50pi50:1:0.0117835304}
205  LG+C50        2490085.031  60  4980290.063  4980290.106  4980892.859
Model LG+C60 is alias for LG+POISSON+G+FMIX{C60pi1:1:0.0169698865,C60pi2:1:0.0211683374,C60pi3:1:0.0276589079,C60pi4:1:0.0065675964,C60pi5:1:0.0141221416,C60pi6:1:0.0068774834,C60pi7:1:0.0146909701,C60pi8:1:0.0067225777,C60pi9:1:0.0018396660,C60pi10:1:0.0102547197,C60pi11:1:0.0230896163,C60pi12:1:0.0057941033,C60pi13:1:0.0125394534,C60pi14:1:0.0204526478,C60pi15:1:0.0070629602,C60pi16:1:0.0117982741,C60pi17:1:0.0068334668,C60pi18:1:0.0433775839,C60pi19:1:0.0318278731,C60pi20:1:0.0222546108,C60pi21:1:0.0102264969,C60pi22:1:0.0150545891,C60pi23:1:0.0134159878,C60pi24:1:0.0148552065,C60pi25:1:0.0239111516,C60pi26:1:0.0128776278,C60pi27:1:0.0222318842,C60pi28:1:0.0247444742,C60pi29:1:0.0214274810,C60pi30:1:0.0115001882,C60pi31:1:0.0076017389,C60pi32:1:0.0130258568,C60pi33:1:0.0093701965,C60pi34:1:0.0467194264,C60pi35:1:0.0441940314,C60pi36:1:0.0322263154,C60pi37:1:0.0402999891,C60pi38:1:0.0150234227,C60pi39:1:0.0104589903,C60pi40:1:0.0214742395,C60pi41:1:0.0154957836,C60pi42:1:0.0101789953,C60pi43:1:0.0227980379,C60pi44:1:0.0123204539,C60pi45:1:0.0066777583,C60pi46:1:0.0004150083,C60pi47:1:0.0344385130,C60pi48:1:0.0113663379,C60pi49:1:0.0127143049,C60pi50:1:0.0124323741,C60pi51:1:0.0262124415,C60pi52:1:0.0064994957,C60pi53:1:0.0103203293,C60pi54:1:0.0142463512,C60pi55:1:0.0215600067,C60pi56:1:0.0199150700,C60pi57:1:0.0038964200,C60pi58:1:0.0113448855,C60pi59:1:0.0128595846,C60pi60:1:0.0117656776}
206  LG+C60        2489294.062  60  4978708.125  4978708.168  4979310.921
Akaike Information Criterion:           LG+C60
Corrected Akaike Information Criterion: LG+C60
Bayesian Information Criterion:         LG+C60
Best-fit model: LG+C60 chosen according to BIC

All model information printed to 22taxa.model.gz
CPU time for ModelFinder: 1221024.108 seconds (339h:10m:24s)
Wall-clock time for ModelFinder: 42604.233 seconds (11h:50m:4s)
Generating 1500 samples for ultrafast bootstrap (seed: 726376)...
Model LG+C60 is alias for LG+POISSON+G+FMIX{C60pi1:1:0.0169698865,C60pi2:1:0.0211683374,C60pi3:1:0.0276589079,C60pi4:1:0.0065675964,C60pi5:1:0.0141221416,C60pi6:1:0.0068774834,C60pi7:1:0.0146909701,C60pi8:1:0.0067225777,C60pi9:1:0.0018396660,C60pi10:1:0.0102547197,C60pi11:1:0.0230896163,C60pi12:1:0.0057941033,C60pi13:1:0.0125394534,C60pi14:1:0.0204526478,C60pi15:1:0.0070629602,C60pi16:1:0.0117982741,C60pi17:1:0.0068334668,C60pi18:1:0.0433775839,C60pi19:1:0.0318278731,C60pi20:1:0.0222546108,C60pi21:1:0.0102264969,C60pi22:1:0.0150545891,C60pi23:1:0.0134159878,C60pi24:1:0.0148552065,C60pi25:1:0.0239111516,C60pi26:1:0.0128776278,C60pi27:1:0.0222318842,C60pi28:1:0.0247444742,C60pi29:1:0.0214274810,C60pi30:1:0.0115001882,C60pi31:1:0.0076017389,C60pi32:1:0.0130258568,C60pi33:1:0.0093701965,C60pi34:1:0.0467194264,C60pi35:1:0.0441940314,C60pi36:1:0.0322263154,C60pi37:1:0.0402999891,C60pi38:1:0.0150234227,C60pi39:1:0.0104589903,C60pi40:1:0.0214742395,C60pi41:1:0.0154957836,C60pi42:1:0.0101789953,C60pi43:1:0.0227980379,C60pi44:1:0.0123204539,C60pi45:1:0.0066777583,C60pi46:1:0.0004150083,C60pi47:1:0.0344385130,C60pi48:1:0.0113663379,C60pi49:1:0.0127143049,C60pi50:1:0.0124323741,C60pi51:1:0.0262124415,C60pi52:1:0.0064994957,C60pi53:1:0.0103203293,C60pi54:1:0.0142463512,C60pi55:1:0.0215600067,C60pi56:1:0.0199150700,C60pi57:1:0.0038964200,C60pi58:1:0.0113448855,C60pi59:1:0.0128595846,C60pi60:1:0.0117656776}

NOTE: 128316 MB RAM (125 GB) is required!
Estimate model parameters (epsilon = 0.100)
1. Initial log-likelihood: -2489294.062
Optimal log-likelihood: -2489294.060
Mixture weights: 0.017 0.021 0.028 0.007 0.014 0.007 0.015 0.007 0.002 0.010 0.023 0.006 0.013 0.020 0.007 0.012 0.007 0.043 0.032 0.022 0.010 0.015 0.013 0.015 0.024 0.013 0.022 0.025 0.021 0.011 0.008 0.013 0.009 0.047 0.044 0.032 0.040 0.015 0.010 0.021 0.015 0.010 0.023 0.012 0.007 0.001 0.034 0.011 0.013 0.012 0.026 0.006 0.010 0.014 0.022 0.020 0.004 0.011 0.013 0.012
Gamma shape alpha: 0.294
Parameters optimization took 1 rounds (155.927 sec)
Computing ML distances based on estimated model parameters... 1.544 sec
Computing BIONJ tree...
0.003 seconds
Log-likelihood of BIONJ tree: -2489461.732
--------------------------------------------------------------------
|             INITIALIZING CANDIDATE TREE SET                      |
--------------------------------------------------------------------
Generating 8 parsimony trees... 8.624 second
Computing log-likelihood of 8 initial trees ... 613.197 seconds
Current best score: -2489294.060

Do NNI search on 10 best initial trees
Estimate model parameters (epsilon = 0.100)
BETTER TREE FOUND at iteration 1: -2489282.409
Iteration 10 / LogL: -2489283.782 / Time: 3h:57m:33s
Finish initializing candidate tree set (11)
Current best tree score: -2489282.409 / CPU time: 13248.911
Number of iterations: 10
--------------------------------------------------------------------
|               OPTIMIZING CANDIDATE TREE SET                      |
--------------------------------------------------------------------
Iteration 20 / LogL: -2489303.955 / Time: 8h:3m:9s
Iteration 30 / LogL: -2489290.215 / Time: 11h:30m:46s (28h:11m:11s left)
Iteration 40 / LogL: -2489288.985 / Time: 14h:36m:28s (22h:50m:53s left)
Iteration 50 / LogL: -2489311.861 / Time: 17h:54m:1s (18h:37m:52s left)
Log-likelihood cutoff on original alignment: -2489416.178
Iteration 60 / LogL: -2489291.996 / Time: 20h:55m:23s (14h:32m:23s left)
Iteration 70 / LogL: -2489287.338 / Time: 24h:0m:59s (10h:47m:24s left)
Iteration 80 / LogL: -2489283.899 / Time: 27h:10m:1s (7h:13m:17s left)
Iteration 90 / LogL: -2489313.103 / Time: 30h:11m:42s (3h:43m:55s left)
Iteration 100 / LogL: -2489296.679 / Time: 33h:9m:4s (0h:20m:5s left)
Log-likelihood cutoff on original alignment: -2489415.216
NOTE: Bootstrap correlation coefficient of split occurrence frequencies: 1.000
Total number of trees received: 0
Total number of trees sent: 0
Total number of NNI searches done by myself: 103
TREE SEARCH COMPLETED AFTER 102 ITERATIONS / Time: 33h:48m:17s

--------------------------------------------------------------------
|                    FINALIZING TREE SEARCH                        |
--------------------------------------------------------------------
Performs final model parameters optimization
Estimate model parameters (epsilon = 0.010)
1. Initial log-likelihood: -2489282.409
Optimal log-likelihood: -2489282.408
Mixture weights: 0.017 0.021 0.028 0.007 0.014 0.007 0.015 0.007 0.002 0.010 0.023 0.006 0.013 0.020 0.007 0.012 0.007 0.043 0.032 0.022 0.010 0.015 0.013 0.015 0.024 0.013 0.022 0.025 0.021 0.011 0.008 0.013 0.009 0.047 0.044 0.032 0.040 0.015 0.010 0.021 0.015 0.010 0.023 0.012 0.007 0.001 0.034 0.011 0.013 0.012 0.026 0.006 0.010 0.014 0.022 0.020 0.004 0.011 0.013 0.012
Gamma shape alpha: 0.293
Parameters optimization took 1 rounds (138.988 sec)
BEST SCORE FOUND : -2489282.408
Creating bootstrap support values...
Split supports printed to NEXUS file 22taxa.splits.nex
Total tree length: 9.870

Total number of iterations: 102
CPU time used for tree search: 3188473.445 sec (885h:41m:13s)
Wall-clock time used for tree search: 120693.219 sec (33h:31m:33s)
Total CPU time used: 3218431.918 sec (894h:0m:31s)
Total wall-clock time used: 121836.706 sec (33h:50m:36s)

Computing bootstrap consensus tree...
Reading input file 22taxa.splits.nex...
31 taxa and 70 splits.
Consensus tree written to 22taxa.contree
Reading input trees file 22taxa.contree
Log-likelihood of consensus tree: -2489282.409

Analysis results written to: 
  IQ-TREE report:                22taxa.iqtree
  Maximum-likelihood tree:       22taxa.treefile
  Likelihood distances:          22taxa.mldist

Ultrafast bootstrap approximation results written to:
  Split support values:          22taxa.splits.nex
  Consensus tree:                22taxa.contree
  Screen log file:               22taxa.log

Date and Time: Sun Mar 14 00:28:20 2021
